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Putative Antimicrobial Peptides Within Bacterial Proteomes Affect Bacterial Predominance: A Network Analysis Perspective
The predominance of bacterial taxa in the gut, was examined in view of the putative antimicrobial peptide sequences (AMPs) within their proteomes. The working assumption was that compatible bacteria would share homology and thus immunity to their putative AMPs, while competing taxa would have dissim...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8636115/ https://www.ncbi.nlm.nih.gov/pubmed/34867874 http://dx.doi.org/10.3389/fmicb.2021.752674 |
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author | Oulas, Anastasis Zachariou, Margarita Chasapis, Christos T. Tomazou, Marios Ijaz, Umer Z. Schmartz, Georges Pierre Spyrou, George M. Vlamis-Gardikas, Alexios |
author_facet | Oulas, Anastasis Zachariou, Margarita Chasapis, Christos T. Tomazou, Marios Ijaz, Umer Z. Schmartz, Georges Pierre Spyrou, George M. Vlamis-Gardikas, Alexios |
author_sort | Oulas, Anastasis |
collection | PubMed |
description | The predominance of bacterial taxa in the gut, was examined in view of the putative antimicrobial peptide sequences (AMPs) within their proteomes. The working assumption was that compatible bacteria would share homology and thus immunity to their putative AMPs, while competing taxa would have dissimilarities in their proteome-hidden AMPs. A network–based method (“Bacterial Wars”) was developed to handle sequence similarities of predicted AMPs among UniProt-derived protein sequences from different bacterial taxa, while a resulting parameter (“Die” score) suggested which taxa would prevail in a defined microbiome. T he working hypothesis was examined by correlating the calculated Die scores, to the abundance of bacterial taxa from gut microbiomes from different states of health and disease. Eleven publicly available 16S rRNA datasets and a dataset from a full shotgun metagenomics served for the analysis. The overall conclusion was that AMPs encrypted within bacterial proteomes affected the predominance of bacterial taxa in chemospheres. |
format | Online Article Text |
id | pubmed-8636115 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-86361152021-12-02 Putative Antimicrobial Peptides Within Bacterial Proteomes Affect Bacterial Predominance: A Network Analysis Perspective Oulas, Anastasis Zachariou, Margarita Chasapis, Christos T. Tomazou, Marios Ijaz, Umer Z. Schmartz, Georges Pierre Spyrou, George M. Vlamis-Gardikas, Alexios Front Microbiol Microbiology The predominance of bacterial taxa in the gut, was examined in view of the putative antimicrobial peptide sequences (AMPs) within their proteomes. The working assumption was that compatible bacteria would share homology and thus immunity to their putative AMPs, while competing taxa would have dissimilarities in their proteome-hidden AMPs. A network–based method (“Bacterial Wars”) was developed to handle sequence similarities of predicted AMPs among UniProt-derived protein sequences from different bacterial taxa, while a resulting parameter (“Die” score) suggested which taxa would prevail in a defined microbiome. T he working hypothesis was examined by correlating the calculated Die scores, to the abundance of bacterial taxa from gut microbiomes from different states of health and disease. Eleven publicly available 16S rRNA datasets and a dataset from a full shotgun metagenomics served for the analysis. The overall conclusion was that AMPs encrypted within bacterial proteomes affected the predominance of bacterial taxa in chemospheres. Frontiers Media S.A. 2021-11-12 /pmc/articles/PMC8636115/ /pubmed/34867874 http://dx.doi.org/10.3389/fmicb.2021.752674 Text en Copyright © 2021 Oulas, Zachariou, Chasapis, Tomazou, Ijaz, Schmartz, Spyrou and Vlamis-Gardikas. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Microbiology Oulas, Anastasis Zachariou, Margarita Chasapis, Christos T. Tomazou, Marios Ijaz, Umer Z. Schmartz, Georges Pierre Spyrou, George M. Vlamis-Gardikas, Alexios Putative Antimicrobial Peptides Within Bacterial Proteomes Affect Bacterial Predominance: A Network Analysis Perspective |
title | Putative Antimicrobial Peptides Within Bacterial Proteomes Affect Bacterial Predominance: A Network Analysis Perspective |
title_full | Putative Antimicrobial Peptides Within Bacterial Proteomes Affect Bacterial Predominance: A Network Analysis Perspective |
title_fullStr | Putative Antimicrobial Peptides Within Bacterial Proteomes Affect Bacterial Predominance: A Network Analysis Perspective |
title_full_unstemmed | Putative Antimicrobial Peptides Within Bacterial Proteomes Affect Bacterial Predominance: A Network Analysis Perspective |
title_short | Putative Antimicrobial Peptides Within Bacterial Proteomes Affect Bacterial Predominance: A Network Analysis Perspective |
title_sort | putative antimicrobial peptides within bacterial proteomes affect bacterial predominance: a network analysis perspective |
topic | Microbiology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8636115/ https://www.ncbi.nlm.nih.gov/pubmed/34867874 http://dx.doi.org/10.3389/fmicb.2021.752674 |
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